Open Access
Issue
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
Article Number 02014
Number of page(s) 6
Section Green Low-Carbon and Energy Saving and Emission Reduction Applications
DOI https://doi.org/10.1051/e3sconf/202127502014
Published online 21 June 2021
  1. Chen Jie. Research on the correlation between technological innovation, carbon emissions and economic growth in my country[J]. Statistics and Decision, 2019, 35(22), pp.126-130. [Google Scholar]
  2. Gao Jing. Research on the Spatial Spillover Effects and Influencing Factors of China’s Inter-provincial Carbon Emissions[D]. Southwestern University of Finance and Economics, 2019. [Google Scholar]
  3. Wu Jigui, Ye Azhong. The spatial shock effects of capital accumulation, economic growth and energy carbon emissions: a study based on the SSpVAR model[J]. Science of Science and Management of Science and Technology, 2016, 37(05), pp.24-33. [Google Scholar]
  4. Chen Shengming, Zhang Yabin, Chen Xiaoling. Technology Choice, Industrial Structure Upgrade and Economic Growth——A Research Based on Semiparametric Space Panel Vector Autoregressive Model [J]. Economic Survey, 2017, 34(05), pp.87-92. [Google Scholar]
  5. Yuan J, Xu Y, Hu Z. Peak energy consumption and CO2 emissions in China[J]. Energy Policy, 2014, 68(5), pp.508-523. [CrossRef] [Google Scholar]
  6. Sather C, Qu J S, Wang Q. Carbon Inequality at the Sub-national scale: A Case Study of Provincial-level Inequality in CO2 Emissions in China 1997-2007[J]. Energy Policy, 2011(9), pp.5420-5428 [CrossRef] [Google Scholar]
  7. Groot, L. Carbon Lorenz Curves[J]. Resource and Energy Economics, 2010(32), pp.45-64. [CrossRef] [Google Scholar]
  8. Abdul Jalil, Mete Feridun. The Impact of Growth, Energy and Financial Development on the Environment in China: A Cointegration Analysis[J]. Energy Economics, 2010(2), pp.284-291. [Google Scholar]

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